A comparative study of phantom sponge for monocular 3D object detection on edge devices
In this paper, we expand the Phantom Sponge attack to monocular 3D object detection to increase false positives and detection times, thereby impairing the performance of edge devices. We introduce alpha-blending with a Universal Adversarial Patch (UAP) to modulate attack strength. Extensive experime...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959525000220 |
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| author | Shaheer Siddiqui Jinpyung Kim Jangho Lee |
| author_facet | Shaheer Siddiqui Jinpyung Kim Jangho Lee |
| author_sort | Shaheer Siddiqui |
| collection | DOAJ |
| description | In this paper, we expand the Phantom Sponge attack to monocular 3D object detection to increase false positives and detection times, thereby impairing the performance of edge devices. We introduce alpha-blending with a Universal Adversarial Patch (UAP) to modulate attack strength. Extensive experiments on KITTI, Rope3D, and NuScenes datasets across various hardware GPUs assess the UAP's impact. We also analyze power consumption, temperature, and other metrics on NVIDIA Jetson devices under UAP attacks. Our findings reveal the vulnerability of NMS-dependent models and edge devices to UAP attacks, the generalization of UAP, and the need for robust defenses in real-time applications. |
| format | Article |
| id | doaj-art-bdc5050f706145b08eb0588ff031ac69 |
| institution | OA Journals |
| issn | 2405-9595 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj-art-bdc5050f706145b08eb0588ff031ac692025-08-20T02:35:50ZengElsevierICT Express2405-95952025-06-0111356957510.1016/j.icte.2025.02.006A comparative study of phantom sponge for monocular 3D object detection on edge devicesShaheer Siddiqui0Jinpyung Kim1Jangho Lee2Department of Computer Science and Engineering, Incheon National University, Incheon 22012, Republic of KoreaGlobal Bridge Co., Ltd., Incheon 21990, Republic of Korea; Correspondence author.Department of Computer Science and Engineering, Incheon National University, Incheon 22012, Republic of Korea; Correspondence author.In this paper, we expand the Phantom Sponge attack to monocular 3D object detection to increase false positives and detection times, thereby impairing the performance of edge devices. We introduce alpha-blending with a Universal Adversarial Patch (UAP) to modulate attack strength. Extensive experiments on KITTI, Rope3D, and NuScenes datasets across various hardware GPUs assess the UAP's impact. We also analyze power consumption, temperature, and other metrics on NVIDIA Jetson devices under UAP attacks. Our findings reveal the vulnerability of NMS-dependent models and edge devices to UAP attacks, the generalization of UAP, and the need for robust defenses in real-time applications.http://www.sciencedirect.com/science/article/pii/S2405959525000220Object detectionAdversarial attackLatency attackReal-time systemEdge-computing |
| spellingShingle | Shaheer Siddiqui Jinpyung Kim Jangho Lee A comparative study of phantom sponge for monocular 3D object detection on edge devices ICT Express Object detection Adversarial attack Latency attack Real-time system Edge-computing |
| title | A comparative study of phantom sponge for monocular 3D object detection on edge devices |
| title_full | A comparative study of phantom sponge for monocular 3D object detection on edge devices |
| title_fullStr | A comparative study of phantom sponge for monocular 3D object detection on edge devices |
| title_full_unstemmed | A comparative study of phantom sponge for monocular 3D object detection on edge devices |
| title_short | A comparative study of phantom sponge for monocular 3D object detection on edge devices |
| title_sort | comparative study of phantom sponge for monocular 3d object detection on edge devices |
| topic | Object detection Adversarial attack Latency attack Real-time system Edge-computing |
| url | http://www.sciencedirect.com/science/article/pii/S2405959525000220 |
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